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Open nowFirst seen 9 hours ago

Senior Staff Engineer, Business Intelligence and Looker AI

Google3,393 open roles

Where
Kirkland, WA, USA
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Your applicationOpen nowSenior Staff Engineer, Business Intelligence and Looker AIGoogle · Kirkland, WA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: first seen 9 hours ago

Google median: 26 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
  • Experience with distributed systems, software architecture, and system design.

Preferred qualifications:

  • Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
  • Experience with data modeling, data analytics and Google cloud platform.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Looker is evolving from descriptive reporting to a prescriptive, collaborative BI partner. We're pioneering agentic BI, conversational analytics, and self-learning systems to help businesses act on data with confidence.

As a Senior Technical Leader, you'll architect this goal and shape the future of our platform. Join us to redefine how the world interacts with data.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Provide technical and strategic guidance to a team of skilled engineers, encouraging innovation and ensuring successful project delivery in the areas of Semantic Modeling, AI, Business Intelligence.
  • Establish and maintain strong connections with the partner leadership team, serving as the primary contact for team deliverables. Partner closely with stakeholders to align priorities, gather requirements, and meet business objectives.
  • Uphold Google's standards by focusing on reliability, security, and operational efficiency within large-scale distributed systems.
  • Mentor and grow team members and foster a culture of empowerment.
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